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Senior Data Modeler

Senior Data Modeler

TAWANTECHRiyadh, Riyadh Province, SA
22 days ago
Job type
  • Quick Apply
Job description

We are seeking a Senior Data Modeler to lead the design, implementation, and optimization of enterprise-level data models across various platforms. This role requires a strategic thinker with hands-on experience in data architecture and a deep understanding of industry best practices in data modeling and data infrastructure.

Key Responsibilities :

  • Lead the development of conceptual, logical, and physical data models .
  • Implement business and IT data requirements across relational, dimensional, and NoSQL platforms .
  • Define and enforce data modeling standards, tools, and best practices .
  • Oversee the implementation of RDBMS , Operational Data Stores (ODS) , data marts , and data lakes .
  • Identify and design the architecture, infrastructure, and interfaces to data sources while ensuring security and analytic model support .
  • Optimize data query performance through best practices and identify areas for improvement in current data systems.
  • Collaborate with cross-functional teams to address project requirements and mitigate delivery risks.
  • Support the development of data tools for reporting , visualization , analytics , and machine learning .
  • Design and manage data infrastructure to extract, organize, and store data for authorized users.
  • Identify and integrate internal and external data sources within the organization.
  • Ensure data accuracy , security , and accessibility .

Requirements

Requirements :

  • 8+ years of experience in data modeling, data architecture, and data infrastructure.
  • Proven expertise in conceptual, logical, and physical data modeling .
  • Hands-on experience with data warehouse and data lake design using Inmon and Kimball methodologies.
  • Experience working with RDBMS , NoSQL databases , and Cloudera CDP technologies.
  • Demonstrated success in defining and implementing data architecture strategies in enterprise environments.
  • Strong understanding of data modeling standards , best practices , and design tools such as ERWIN .
  • Experience in performance tuning for complex data queries.
  • Excellent communication skills for interacting with technical and non-technical stakeholders.
  • Strong analytical mindset and problem-solving skills to proactively support business and IT initiatives.
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